Keywords
2030 Agenda
K-means cluster analysis
correspondence analysis
sustainable development
energy policy
How to Cite
Abstract
This article aims at identifying and describing Mexican households in terms of access to energy services and their main socioeconomic characteristics in order to show the relationship between access to electricity and to the services that energy provides. A quantitative methodology with multivariate techniques was applied, which included the K-means cluster analysis and the correspondence analysis. The results warn that there are households with high homogeneity and intergroup heterogeneity, a scenario that reveals a problem of social inequality regarding access to energy services, despite the fact that almost all of them have electricity. The limitation of the study was the lack of official information on the capacity (power), size and brand of home appliances. It follows that the State must implement an energy policy that recognizes this social differentiation, with a cross-sectional approach of economic, social and environmental sustainability.
References
Agencia Internacional de Energía-Secretaría de Energía (AIE-SENER). (2011). Indicadores de sustentabilidad energética: 5 sectores, 5 retos. México: SENER. Recuperado de https://www.gob.mx/cms/attachment/file/65305/Bibliograf_a_6.pdf
Baranger, D., y Niño, F. (2009). Introducción al análisis de correspondencias. En D. Baranger (coord.), Construcción y análisis de datos. Introducción al uso de técnicas cuantitativas en la investigación social (pp. 97-121). Buenos Aires: Posadas.
Checkley, W., Epstein, L. D., Gilman, R. H., Figueroa, D., Cama, R. I., Patz, J. A., y Black, R. E. (2000). Effects of EI Niño and ambient temperature on hospital admissions for diarrhoeal diseases in Peruvian children. The Lancet, 355(9202), 442-450. doi:10.1016/S0140-6736(00)82010-3
Cravioto, J., y Yamasue, E. (2017). Energy services and life satisfaction: A study on households in two Mexican communities. Trabajo presentado en Energy for Society: 1st International Conference on Energy Research & Social Science. Sitges, España.
Cravioto, J., Yamasue, E., Okumura, H., e Ishihara, K. N. (2014). Energy service satisfaction in two Mexican communities: A study on demographic, household, equipment and energy related predictors. Energy Policy, (73), 110-126.
Daniels, N. A., MacKinnon, L., Bishop, R., Altekruse, S., Ray, B., Hammond, R. M., Thompson, S., Wilson, S., Bean, N. H., Griffin, P. M., y Slutsker L. (2000). Vibrio parahaemolyticus infections in the United States, 1973–1998. The Journal of Infectious Diseases, 181(5), 1661-1666. doi.org/10.1086/315459
Druckman, A., y Jackson, T. (2008). Household energy consumption in the UK: A highly geographically and socio-economically disaggregated model. Energy Policy, 36(8), 3177-3192.
Evans, G. (2001). Environmental stress and health. En A. Baum, T. Revenson y J. Singer (eds.), Handbook of health psychology (pp. 365-385). Nueva Jersey: Erlbaum.
Everitt, B. S., y Dunn, G. (2001). Applied multivariate data analysis (vol. 2). Londres: Arnold.
Fell, M. J. (2017). Energy services: A conceptual review. Energy Research and Social Science, (27), 129-140.
García, R. (2014). Pobreza energética en América Latina, (Serie Documentos de proyecto Comisión Económica para América Latina y el Caribe-CEPAL, LC/W.576). Santiago de Chile. CEPAL, Naciones Unidas. Recuperado de http://www.cepal.org/cgi-bin/getProd.asp?xml=/publicaciones/xml/8/52578/P52578.xml&xsl=/publicaciones/ficha.xsl&base=/publicaciones/top publicaciones.xsl
García, R., y Graizbord, B. (2016a). Caracterización espacial de la pobreza energética en México. Un análisis a escala subnacional. Economía, Sociedad y Territorio, 16(51), 289-337.
García, R., y Graizbord, B. (2016b). Privation of energy services in Mexican households: An alternative measure of energy poverty. Energy Research and Social Science, 18, 36-49.
Gobierno Federal. (2016). México Agenda 2030. Estrategia nacional para la puesta en marcha de la Agenda 2030. Recuperado de https://www.gob.mx/cms/uploads/attachment/file/412433/Estrategia_Nacional_Implementacion_Agenda_2030.pdf
Greenacre, M. (2017). Correspondence analysis in practice. Serie Chapman & Hall/CRC Interdisciplinary Statistics. Boca Ratón: CRC Press.
Hair, J. F., Anderson, R. E., Tatham, R. L., y Black, W. C. (2007). Análisis multivariante. Madrid: Prentice Hall.
Healy, J. D., y Clinch, J. P. (2004). Quantifying the severity of fuel poverty, its relationship with poor housing and reasons for non-investment in energy-saving measures in Ireland. Energy Policy, 32(2), 207-220.
Instituto Nacional de Estadística y Geografía (INEGI). (2017). Encuesta Nacional de Ingresos y Gastos de los Hogares 2016. Recuperado de http://www.beta.inegi.org.mx/proyectos/enchogares/regulares/enigh/nc/2016/default.html
Kaufman, L., y Rousseeuw, P. J. (2009). Finding groups in data: An introduction to cluster analysis (vol. 344). Hoboken: John Wiley & Sons.
Kozulj, R. (2009). Contribución de los servicios energéticos a los Objetivos de Desarrollo del Milenio y a la mitigación de la pobreza en América Latina y el Caribe. Santiago de Chile: CEPAL, Sociedad Alemana de Cooperación Técnica, Programa de las Naciones Unidas para el Desarrollo.
Küller, R., Ballal, S., Laike, T., Mikellides, B., y Tonello, G. (2006). The impact of light and colour on psychological mood: A cross-cultural study of indoor work environments. Ergonomics, 49(14), 1496-1507. doi: 10.1080/00140130600858142
McMichael, A. J., Campbell-Landrum, D. H., Corvalán, C. F., Ebi, K. L., Githeko, A. K., Sheraga, J. D., y Woodward, A. (eds.). (2003). Climate change and human health. Risks and responses. Ginebra: World Health Organization.
Modi, V., McDade, S., Lallement, D., y Saghir, J. (2005). Energy services for the Millennium Development Goals. Washington: The International Bank for Reconstruction and Development/The World Bank/United Nations Development Programme.
Naciones Unidas (NU). (2018). Hacia una nueva agenda de desarrollo sostenible. Recuperado de https://www.un.org/sustainabledevelopment/es/mdgs/
O'neill, B. C., y Chen, B. S. (2002). Demographic determinants of household energy use in the United States. Population and Development Review, (28), 53-88.
Practical Action. (2016). Poor people's energy outlook 2016: National energy access planning from the bottom up. Rugby: Practical Action Publishing. doi:10.3362/9781780449357
Resiter, D. B., y Devine Jr., W. D. (1981). Total costs of energy services. Energy, 6(4), 305-315.
Roux, B., de y Rouanet, H. (2010). Multiple correspondence analysis. Quantitative applications in the social sciences. Thousand Oaks: SAGE Publications.
Secretaría de Energía (SENER). (2017). Balance nacional de energía 2016. México: SENER. Recuperado de www.gob.mx/sener/documentos/balance-nacional-de-energia
Sovacool, B. K. (2011). Conceptualizing urban household energy use: Climbing the “energy services ladder”. Energy Policy, 39(3), 1659-1668.
Tangkanakul, W., Tharmaphornpilas, P., Datapon, D., y Sutantayawalee, S. (2000). Food poisoning outbreak from contaminated fish-balls. Journal of the Medical Association of Thailand, 83(11), 1289-1295. https://europepmc.org/abstract/med/11215857
Tonello, G. (2008). Seasonal affective disorder: Lighting research and environmental psychology. Lighting Research & Technology, 40(2), 103-110. doi:10.1177/1477153507083929
United Nations (UN). (2002). Department of Public Information. Plan of Implementation of the World Summit on Sustainable Development. Recuperado de http://www.un.org/esa/sustdev/documents/WSSD_POI_PD/English/WSSD_PlanImpl.pdf
United Nations (UN). (2009). Department of Public Information. The Millennium Development Goals Report 2009 (includes the 2009 progress chart). Nueva York: United Nations Publications.
Wall, R., y Crosbie, T. (2009). Potential for reducing electricity demand for lighting in households: An exploratory socio-technical study. Energy Policy, 37(3), 1021-1031. doi.10.1016/j.enpol.2008.10.045
World Health Organization-World Meteorological Organization (WHO-WMO). (2012). Atlas of health and climate. Ginebra: WHO.
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